Teaching GuideTerm Faculty of Computer Science |
Mestrado Universitario en Bioinformática para Ciencias da Saúde |
Subjects |
Neuroengineering and innovation in neuroscience |
Planning |
Identifying Data | 2017/18 | |||||||||||||
Subject | Neuroengineering and innovation in neuroscience | Code | 614522016 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 1st four-month period |
Second | Optativa | 3 | ||||||||||
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Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
Problem solving | A3 B1 B3 B5 B6 B8 C6 C3 | 8 | 16 | 24 |
Oral presentation | A1 B5 B4 B1 C1 C3 C6 C7 C8 | 2 | 10 | 12 |
Events academic / information | A1 A7 B3 B4 | 2 | 2 | 4 |
Objective test | A3 A1 B4 B2 B1 C1 | 2 | 16 | 18 |
Guest lecture / keynote speech | A1 A2 A3 A7 B7 B2 B1 C6 | 7 | 7 | 14 |
Personalized attention | 3 | 0 | 3 | |
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
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